qbxlvnf11 / graph-neural-networks-for-graph-classification
Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
☆100Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for graph-neural-networks-for-graph-classification
- A list for GNNs and related works.☆82Updated 2 months ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆113Updated last year
- AAAI'21: Data Augmentation for Graph Neural Networks☆187Updated 6 months ago
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆152Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆129Updated last year
- ☆127Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆225Updated last month
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆312Updated 6 months ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆283Updated last year
- A curated list of graph data augmentation papers.☆300Updated 7 months ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆128Updated 3 months ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆383Updated 5 months ago
- Parameterized Explainer for Graph Neural Network☆128Updated 8 months ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆97Updated 3 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆190Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆176Updated 4 months ago
- ☆67Updated 2 years ago
- ☆29Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆267Updated last year
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆188Updated last year
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆123Updated 2 years ago
- ☆298Updated 3 months ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆387Updated 3 years ago
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆141Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆51Updated last month
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆79Updated 3 weeks ago
- ☆132Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆99Updated last year
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆62Updated 11 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆73Updated this week